refactor: move things around

2026-05-21 14:16:30 +02:00
parent 2fce3281a3
commit 41e15ed275
124 changed files with 404226 additions and 0 deletions
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "toc": true
+   },
+   "source": [
+    "# WS 10 Performancevergleiche Regression"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Vergleichen Sie alle Regressoren (ausser `SVR` und `MLPRegressor`) mit folgenden Modifikationen\n",
+    "  * die Vergleiche werden ohne und mit Standardisierung der Features durchgeführt\n",
+    "  * die Resultate (r2_score) werden in Form einer Heatmap zusammengestellt\n",
+    "* informieren Sie sich zum Vorgehen am Code in 3.4 Regression - Modellvergleiche.ipynb\n",
+    "* Präsentation der Ergebnisse als \n",
+    "  * seaborn heatmap\n",
+    "  * alternative Visualisierung: Grouped barplots"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## for scikit-learn 1.4.2, to silence warnings regarding physical cores\n",
+    "import os\n",
+    "os.environ['LOKY_MAX_CPU_COUNT'] = '4' ## depending on the hardware used"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## prepare env, read and prepare data\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns; sns.set()\n",
+    "\n",
+    "codepath = '../2_code'\n",
+    "datapath = '../3_data'\n",
+    "from sys import path; path.insert(1, codepath)\n",
+    "from os import chdir; chdir(datapath)\n",
+    "\n",
+    "from bfh_cas_pml import prep_data\n",
+    "X_train, X_test, y_train, y_test = prep_data('melb_data_prep.csv', target='Price', seed=1234)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-04-08T10:33:02.116059Z",
+     "start_time": "2020-04-08T10:33:02.087399Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "## standardize features (lead: train)\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "scaler = StandardScaler()\n",
+    "scaler.fit(X_train)\n",
+    "X_train_sc = scaler.transform(X_train)\n",
+    "X_test_sc = scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-04-08T10:33:02.294366Z",
+     "start_time": "2020-04-08T10:33:02.120049Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "## import trainer classes\n",
+    "## tbd\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-04-08T10:33:02.326199Z",
+     "start_time": "2020-04-08T10:33:02.299732Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "## define models\n",
+    "## tbd\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-04-08T10:33:15.141363Z",
+     "start_time": "2020-04-08T10:33:02.341448Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "## compare models\n",
+    "## tbd: prepare empty lists for results\n",
+    "\n",
+    "\n",
+    "\n",
+    "# for model in models:\n",
+    "\n",
+    "    ## not scaled\n",
+    "    ## tbd\n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "    ## scaled\n",
+    "    ## tbd\n",
+    "    \n",
+    "\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2020-04-08T10:33:15.742776Z",
+     "start_time": "2020-04-08T10:33:15.150619Z"
+    }
+   },
+   "source": [
+    "## visualize results\n",
+    "\"\"\"\n",
+    "scores = pd.DataFrame(\n",
+    "    {'r2_no': r2_nos, \n",
+    "     'r2_yes': r2_yess\n",
+    "    }, index=regressors)\n",
+    "\n",
+    "sns.heatmap(scores);\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Fazit:**  \n",
+    "* tbd"
+   ]
+  }
+ ],
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+   "sideBar": true,
+   "skip_h1_title": true,
+   "title_cell": "WS 14 Regression - Modellvergleiche 2",
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